Overview

Traffic flow estimation reconstructs current traffic conditions and predicts how vehicles move through roads, intersections, and urban networks. It draws on fixed sensors, vehicle trajectories, cameras, radar, mobile-network data, and aggregated counts, often combining sources when coverage is sparse. Common approaches include statistical and Bayesian models, traffic-flow physics and conservation constraints, graph neural networks and other spatiotemporal models, and optimization or reinforcement learning for origin–destination demand. Methods can perform well on road-sensor and trajectory benchmarks, but reliable transfer across cities and changing conditions remains difficult, as does balancing predictive accuracy with physical consistency, uncertainty estimates, and computational cost.

Latest papers

CardsList

51 papers3 papers in the last four weeks, down 62% on the four weeks before. 0.0% of all new papers.

  1. Spectral Adaptive Graph Transformer for Efficient and Scalable Traffic Forecasting

    Oct 18, 2026Amirhossein Ghaffari, Susanna Pirttikangas, Ekaterina GilmanSpatiotemporal ForecastingTraffic Flow Estimation

  2. Real-Time Traffic Density Estimation: A Hybrid Computer Vision and Predictive Machine Learning Pipeline

    Oct 9, 2026Prince Kwabena Appiah BoaduDensity EstimationTraffic Flow Estimation

  3. LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting

    Sep 27, 2026Md Atiqur Rahman Mallick, Kamrul Hasan, Robert T. WhiteTime Series ForecastingTraffic Flow Estimation

  4. Spatio-temporally complementary feature propagation on graphs for longitudinal AADT estimation

    Sep 24, 2026Linghang Sun, Qishen Zhou, Michail A. Makridis +1Intelligent Transportation SystemsTraffic Flow Estimation

  5. Monitoring Urban Traffic Dynamics at Fine Spatiotemporal Resolution Using Distributed Acoustic Sensing and Deep Learning

    Sep 23, 2026Hao Tian, Heng Cai, Xiaowei Chen +1Intelligent Transportation SystemsTraffic Flow Estimation

  6. A Systematic Evaluation of Infrastructure-Based Radar System for Highway Traffic Monitoring

    Sep 22, 2026Tianheng Zhu, Woei-chyi Chang, Alamss Riaz +2Intelligent Transportation SystemsTraffic Flow Estimation

  7. STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting

    Sep 14, 2026Jiawen Chen, Qi Shao, Yongjian Chang +3Traffic Flow EstimationLLM-Based Time Series Forecasting

  8. A Dynamic Fusion Large Language Model for Traffic Flow Prediction

    Sep 10, 2026Xue Qiu, Jianli XiaoIntelligent Transportation SystemsTraffic Flow Estimation

  9. Inferring Urban Mobility Interactions from Aggregated Dynamics

    Sep 7, 2026Yi Wang, Jing Li, Jinliang Deng +5Traffic Flow EstimationProbabilistic Forecasting

  10. ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction

    Aug 30, 2026Limiao Zhang, Yuhui Lu, Jie Gao +3MambaIntelligent Transportation Systems

  11. Neighbor-embedded Graph Neural Network-based Crowd Delivery Traffic Management in Smart City

    Aug 23, 2026Kishu Gupta, Deepika Saxena, Ashutosh Kumar Singh +1Intelligent Transportation SystemsTraffic Flow Estimation

  12. RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction

    Aug 21, 2026Guangyu Wang, Zhidan LiuTraffic ForecastingTraffic Flow Estimation

  13. General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting

    Aug 18, 2026Mattis Thor Straten, Yannick Wolker, Steffen Strohm +3Graph Neural NetworksTraffic Flow Estimation

  14. Structure-Guided Spatiotemporal Attention Graph Neural Network for Traffic Flow Prediction

    Aug 14, 2026Xuanmian He, Can Li, Wanjing MaTraffic Flow EstimationSpatiotemporal Forecasting

  15. Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing

    Aug 14, 2026Davide Andrea Guastella, Eladio Montero Porras, Evangelos Pournaras +1Data AugmentationSynthetic Data Augmentation

  16. Data collection from highways: a geometric, class-agnostic approach to embedded vehicle counting

    Aug 7, 2026Lucas Gouveia Omena Lopes, William W. M. Lira, Alexandre M. Lima +1Edge ComputingTraffic Flow Estimation

  17. Beyond Lanes: Traffic Flow Dynamics in Disordered Conditions Based on High-Resolution Trajectory Data

    Aug 1, 2026Shrey Agrawal, Gowri Asaithambi, Venkatesan Kanagaraj +3Traffic Flow EstimationTraffic Flow Theory

  18. Eliminating Propagation Delay: Attention-Based Spatial-Temporal Fusion Graph Convolution Network for Traffic Flow Prediction

    Jul 27, 2026Jinpeng Chen, Ziyu Yu, Tao Wang +5Intelligent Transportation SystemsTraffic Flow Estimation

  19. Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities

    Jul 27, 2026Léo Hein, Giovanni De Nunzio, Aurélie Pirayre +1Spatial GeneralizationOOD Generalization

  20. Transit Destination Inference from Tap-In-Only Bus Smart-Card Data: A Hierarchical Bayesian Approach

    Jul 23, 2026Gefei Zhao, Jiahe Ling, Yuelong SuIntelligent Transportation SystemsTraffic Flow Estimation

  21. Do We Really Need Transformers for Global Spatial Information Extraction in Traffic Forecasting?

    Jul 14, 2026Qihang Zhang, Siyao Zhang, Letao Kang +3Intelligent Transportation SystemsTraffic Flow Estimation

  22. Unsupervised Detection of Entry and Exit Regions from Vehicle Trajectories for Camera-Agnostic Turning Movement Counts

    Jul 12, 2026Parikshit Singh Rathore, Vishwajeet Pattanaik, Punit RathoreTraffic Flow EstimationUnsupervised Clustering

  23. Simulation-Free Estimation of Traffic Flows from Sparse Count Data

    Jun 22, 2026Davide Guastella, Gianluca BontempiIntelligent Transportation SystemsTraffic Flow Estimation

  24. An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning

    Jun 19, 2026Yongfeng Su, Hongwen Li, Zijian Zhang +3Traffic Flow EstimationSpatiotemporal Forecasting

  25. From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction

    Jun 8, 2026Shuhao Li, Weidong Yang, Yue Cui +4Traffic Flow EstimationSpatiotemporal Forecasting

  26. A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning

    May 27, 2026Joshua Kofi Asamoah, Blessing Agyei Kyem, Armstrong AboahIntelligent Transportation SystemsTraffic Flow Estimation

  27. Selecting New Measurement Locations to Diversify Traffic-Pattern Coverage: A Real-World Evaluation for Total Traffic Volume Estimation

    May 25, 2026Masaaki Inoue, Akifumi Okuno, Shintaro FukushimaIntelligent Transportation SystemsTraffic Flow Estimation